Understanding the differential effect of local socio‐economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties

Author:

Fink David S.1ORCID,Keyes Katherine M.2ORCID,Branas Charles2,Cerdá Magdalena3ORCID,Gruenwald Paul4ORCID,Hasin Deborah12ORCID

Affiliation:

1. New York State Psychiatric Institute New York NY USA

2. Columbia University Mailman School of Public Health New York NY USA

3. Department of Population Health New York University New York NY USA

4. Prevention Research Centre Pacific Institute for Research and Evaluation Berkeley CA USA

Abstract

AbstractBackground and aimsBoth local socio‐economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio‐economic conditions.DesignEcological county‐level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county‐years) using annual mortality data.SettingUnited States.CasesA total of 711 447 drug overdose deaths.MeasurementsWe modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio‐economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue‐collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing).FindingsDrug overdose deaths and all substance‐specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09–1.13], Rey index (aORs = 1.15–1.21) and prescription opioid supply (aORs = 1.14–1.21), and lower in counties with higher HDI scores (aORs = 0.75–0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties.ConclusionsIn the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.

Funder

National Institute on Drug Abuse

Publisher

Wiley

Subject

Psychiatry and Mental health,Medicine (miscellaneous)

Reference92 articles.

1. HedegaardH MininoAM WarnerM.Drug overdose deaths in the United States 1999–2018.2020. NCHS Data Brief no. 356. Available at:https://www.cdc.gov/nchs/data/databriefs/db356.pdf(accessed 1 February 2020).

2. HedegaardH WarnerM MininoAM.Drug overdose deaths in the United States 1999–2016.2017. NCHS Data Brief no. 294. Available at:https://www.cdc.gov/nchs/data/databriefs/db294.pdf(accessed 12 November 2018).

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4. Bowling alone, dying together: The role of social capital in mitigating the drug overdose epidemic in the United States

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